CN112732935A - Domain name recommendation method, system, electronic device and storage medium - Google Patents
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Abstract
The embodiment of the invention relates to a domain name recommendation method, a domain name recommendation system, electronic equipment and a storage medium, wherein the method comprises the steps of acquiring query information of a user; determining a corresponding entity of the query information in the domain name knowledge graph, and generating a domain name recommendation result according to the entity and the domain name knowledge graph; the domain name knowledge map is constructed based on domain names and related information thereof. According to the domain name recommendation method, the domain name recommendation system, the electronic equipment and the storage medium, the domain name knowledge map is constructed, and the domain name knowledge map is used for generating the recommendation result, so that diversified recommendations can be given according to various reasons, the meanings of domain name representatives are clearly shown, and the given recommendations have interpretability.
Description
Technical Field
The present invention relates to the field of domain name retrieval and recommendation technologies, and in particular, to a domain name recommendation method, system, electronic device, and storage medium.
Background
As domain names are used as address schemes for people to access the internet conveniently, with the development of the domain name industry, people are increasingly paying attention to the related meanings and values represented by domain names. In order to register a domain name or know related information of the domain name, a user often performs various domain name searches, and a domain name registrar also gives related domain name recommendations according to the domain name searched by the user.
The information such as registrars, whether the domain names are sold, domain name expiration time and the like of the related domain names can be obtained through a traditional domain name retrieval method, and the related domain name recommendation is given through the literal similarity of the domain names input by users.
However, the conventional domain name retrieval method is difficult to acquire key domain name information and related knowledge from a massive domain name set, and is more difficult to mine the association relation contained in the data or give appropriate related domain name recommendations.
Disclosure of Invention
To solve the problems in the prior art, embodiments of the present invention provide a domain name recommendation method, system, electronic device, and storage medium.
Specifically, the embodiment of the invention provides the following technical scheme:
in a first aspect, an embodiment of the present invention provides a domain name recommendation method, including:
acquiring query information of a user;
determining a corresponding entity of the query information in the domain name knowledge graph, and generating a domain name recommendation result according to the entity and the domain name knowledge graph; the domain name knowledge map is constructed based on domain names and related information thereof.
Optionally, according to the domain name recommendation method provided by the present invention, the acquiring query information of the user includes: and acquiring historical query information of the user and/or current query information of the user.
Optionally, according to the domain name recommendation method provided by the present invention, the domain name and its related information include:
the domain name and registration information of the domain name;
and/or the domain name and content information in a website corresponding to the domain name.
Optionally, the domain name recommendation method provided by the present invention further includes:
acquiring the domain name and related information thereof;
extracting the relation between the entities and each entity in the domain name and the related information thereof to obtain a triple;
and taking the entities in the triples as nodes and taking the relation in the triples as edges to construct the domain name knowledge graph.
Optionally, according to the domain name recommendation method provided by the present invention, the obtaining the domain name and the related information thereof includes:
acquiring registration information of a domain name by querying a database containing detailed information of the registered domain name;
and/or obtaining a website corresponding to the domain name by analyzing the domain name, and acquiring content information from the website.
Optionally, according to the domain name recommendation method provided by the present invention, extracting the relationship between the entity and each entity in the domain name and the related information thereof to obtain a triple, including:
taking the domain name and the registration information as entities to obtain a triplet of the domain name and the registration information;
and/or, taking the domain name and the website as entities to obtain a triple of the website and the domain name;
and/or, taking the content information as an entity to obtain the triple of the website and the content information.
In a second aspect, an embodiment of the present invention further provides a domain name recommendation system, including:
the query information acquisition module is used for acquiring query information of a user;
the recommendation result generation module is used for determining a corresponding entity of the query information in the domain name knowledge map and generating a domain name recommendation result according to the entity and the domain name knowledge map; the domain name knowledge map is constructed based on domain names and related information thereof.
In a third aspect, an embodiment of the present invention further provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of any one of the domain name recommendation methods described above when executing the program.
In a fourth aspect, an embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the domain name recommendation method according to any one of the above-mentioned methods.
According to the domain name recommendation method, the domain name recommendation system, the electronic equipment and the storage medium, the domain name knowledge map is constructed, and the domain name knowledge map is used for generating the recommendation result, so that diversified recommendations can be given according to various reasons, the meanings of domain name representatives are clearly shown, and the given recommendations have interpretability.
Drawings
In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed for the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Fig. 1 is a schematic flowchart of a domain name recommendation method according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a triplet for domain name recommendation according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a domain name knowledge-graph provided by an embodiment of the invention;
fig. 4 is a schematic diagram of a domain name recommendation method according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a domain name recommendation system according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present invention;
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a schematic flowchart of a domain name recommendation method according to an embodiment of the present invention, as shown in fig. 1, including, but not limited to, the following steps:
The domain name is used as a positioning identifier of the computer during data transmission and has uniqueness. A knowledge graph is essentially a semantic network, and is a graph-based data structure, consisting of nodes and edges. The value of generating recommendations based on knowledge graphs lies in: on the one hand, more accurate recommendations can be provided; on the other hand, the recommendation can be interpreted. The information in the knowledge-graph is generally organized in triples, generally in two forms (entities, relationships, entities) and (entities, attributes, attribute values). In the present embodiment, the form of (entity, relationship, entity) is mainly adopted.
In this embodiment, it should be noted that the acquired domain name and the related information thereof may be preprocessed, for example, the related information is processed according to an automatic cleaning program. After the domain name knowledge map is constructed, the domain name knowledge map can be updated regularly or by using an event triggering updating mode. Various existing or future possible knowledge graph-based recommendation methods can be used or combined with other recommendation algorithms to generate recommendation results, for example, in this embodiment, a path-based method can be adopted, a connectivity mode of an entity in a domain name knowledge graph is used for recommendation, and a deep learning relational inference is adopted to construct a path convolution neural network model so as to generate recommendation results.
Based on the content of the foregoing embodiment, as an optional embodiment, the domain name and the related information thereof include: and obtaining the registration information of the domain name by querying a database containing detailed information of the registered domain name. The basic information of the domain name can be obtained through whois transmission protocol, and it is intuitive that whois is a search engine linked to a domain name database, and generally belongs to one of name services provided and maintained by a network information center. The whois service is an online request/response service. The whois server operates in the background listening 43 port, when the internet user searches a domain name (or other information such as host, contact, etc.), the whois server first establishes a TCP connection with the user end, then receives the information requested by the user and queries the background domain name database accordingly. If the corresponding record exists in the database, the corresponding record feeds back related information such as the owner, management information, technical contact information and the like to the user side. And when the output of the server is finished, the user side closes the connection, and thus, an inquiry process is finished.
Based on the content of the foregoing embodiment, as an optional embodiment, the extracting the relationship between the entity and each entity in the domain name and the related information thereof to obtain the triple includes: and taking the domain name and the registration information as entities to obtain a triple of the domain name and the registration information. Fig. 2 is a schematic diagram of a triplet for domain name recommendation according to an embodiment of the present invention, as shown in fig. 2, in this embodiment, the triplet formed by a domain name and registration information may include a domain name a and a registrar a as entities, where a relation between the entities is that the registrar of the domain name is registrar a, where kg denotes a Knowledge Graph (knowledgegraph).
In this embodiment, it should be noted that after the domain name registration information data is obtained, the entity type and the relationship type may be automatically extracted according to a pre-designed model. The extraction of the triples can be realized by adopting various modes, for example, the field meaning, the field quantity and the data content of the structured data are clear, and the triples can be converted into the triples only by designing a simple mapping rule, and are stored in a corresponding file or a database in correspondence with the concepts and the entities in the knowledge graph.
Based on the content of the foregoing embodiment, as an optional embodiment, the domain name and the related information thereof include: and analyzing the domain name to obtain a website corresponding to the domain name, and acquiring content information from the website. If the domain name is resolved by recursive query, that is, the host checks whether the website mapping relationship exists by inquiring the local DNS server, if so, returns the website mapping relationship to complete the domain name resolution, and if not, the local DNS server continues to send query request messages to other domain name servers at different levels, for example, send query request messages to the root domain name server, the top level domain server or the first level domain server until the queried IP address is obtained or the required IP address cannot be queried (error report). After the website IP address corresponding to the domain name is obtained, content information in the website is obtained through the IP address, and website data are regularly crawled through a crawler program.
Based on the content of the foregoing embodiment, as an optional embodiment, the extracting the relationship between the entity and each entity in the domain name and the related information thereof to obtain the triple includes: taking the domain name and the website as entities to obtain a triple of the website and the domain name; and taking the content information as an entity to obtain a triple of the website and the content information.
Fig. 3 is a schematic diagram of a domain name knowledge graph according to an embodiment of the present invention, and as shown in fig. 3, the domain name knowledge graph constructed according to an embodiment of the present invention may include information about a website and an industry and a product to which content included in the website belongs. Domain name a is descended as an entity to a website, which may contain XX products and/or XX industries, in order to mine the traditional meaning associated with the domain name.
In this embodiment, it should be noted that the lower the data structuring degree is, the more complicated the triple extraction method needs to be used, and for the content information of the website, a relationship extraction model based on a machine learning method may be adopted to automatically learn the domain knowledge and obtain the capability of identifying the entity and the relationship from the data labeled in advance by the expert and the data labeling staff. The content information can be limited, for example, the content information is divided into industries such as aerospace, chemical industry, health, building, education, computer, retail and the like, or products such as machinery, household appliances, daily department and the like, so as to reduce the extraction difficulty.
Fig. 4 is a schematic diagram of a domain name recommendation method provided by an embodiment of the present invention, and as shown in fig. 4, the embodiment of the present invention obtains user query information, and obtains a domain name recommendation result through a recommendation algorithm based on a domain name knowledge graph. In this embodiment, it should be noted that the domain name knowledge graph shown in fig. 4 is a simplified meaning representation, and not all domain name knowledge graphs are shown, and the connection manner in the domain name knowledge graph is an exemplary connection.
Based on the content of the foregoing embodiment, as an optional embodiment, the acquiring query information of the user includes: and acquiring historical query information of the user and/or current query information of the user. By recording the historical query information of the user, the information such as the preference or the purpose of the user can be obtained, and a personalized recommendation result is formed.
Based on the content of the foregoing embodiment, as an optional embodiment, generating a domain name recommendation result according to the query information and the domain name knowledge graph includes: and determining a corresponding entity of the query information in the domain name knowledge graph, and generating the domain name recommendation result according to the entity and the domain name knowledge graph. And performing entity identification on the query information of the user, if the domain name input by the user corresponds to the corresponding domain name in the domain name knowledge map, generating a domain name recommendation result by using a pre-designed recommendation algorithm according to the domain name knowledge map, wherein the domain name input by the user and the recommended domain name both have corresponding entities in the domain name knowledge map, and the entities are connected through a relationship and other entities. In this embodiment, it should be noted that the pre-designed recommendation algorithm may be a path-based recommendation algorithm. Regarding the knowledge graph as a heterogeneous information network, a specific path connecting two entities is constructed, for example, a domain name c is connected to a website 1 (not shown), the website 1 is connected to an XX industry, the XX industry is connected to a website 2 (not shown), and the website 2 is connected to a domain name e, and this path can connect two domain names, and thus, this can be regarded as a way of mining potential relationships between domain names. In particular, weights may be designed for the paths so that the paths connect to the appropriate entities. For example, when the user inputs the domain name c, the domain name recommendation algorithm based on the domain name knowledge graph may give the domain name recommendation result containing the domain name e, and give the recommendation reason that the domain name is used in the same industry as the above. For another example, the user inputs a domain name a, the historical query information of the user includes a domain name b, the domain name a and the domain name b are connected to the registrar a, and the registrar a is connected to a domain name d, so that the generated domain name recommendation result may include the domain name d, and the domain name is registered in one registrar for the recommendation reason.
According to the domain name recommendation method provided by the embodiment of the invention, by constructing the domain name knowledge map, diversified and accurate recommendation results can be obtained according to the application of the website corresponding to the domain name, and a recommendation basis can be given, so that the recommendation results have interpretability.
The domain name recommendation system provided by the invention is described below, and the domain name recommendation system described below and the domain name recommendation method described above can be referred to correspondingly.
Fig. 5 is a schematic structural diagram of a domain name recommendation system provided in an embodiment of the present invention, and as shown in fig. 5, the domain name recommendation system provided in this embodiment includes: a query information obtaining module 501 and a recommendation result generating module 502, wherein:
a query information obtaining module 501, configured to obtain query information of a user;
a recommendation result generation module 502, configured to determine a corresponding entity of the query information in the domain name knowledge graph, and generate a domain name recommendation result according to the entity and the domain name knowledge graph; the domain name knowledge map is constructed based on domain names and related information thereof.
Based on the same inventive concept, another embodiment of the present invention provides an electronic device. Fig. 6 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 6: a processor (processor)610, a communication Interface (Communications Interface)620, a memory (memory)630 and a communication bus 640, wherein the processor 610, the communication Interface 620 and the memory 630 communicate with each other via the communication bus 640. The processor 610 may invoke logic instructions in the memory 630 to perform a domain name recommendation method comprising: acquiring a domain name and related information thereof; extracting the relation between the entities and each entity in the domain name and the related information thereof to obtain a triple; taking the entity as a node, taking the relation as an edge, and connecting the triples to construct a domain name knowledge graph; acquiring query information of a user; and generating a domain name recommendation result according to the query information and the domain name knowledge map.
In addition, the logic instructions in the memory 630 may be implemented in software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, the present invention also provides a computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions which, when executed by a computer, enable the computer to perform the domain name recommendation method provided by the above methods, the method comprising: acquiring a domain name and related information thereof; extracting the relation between the entities and each entity in the domain name and the related information thereof to obtain a triple; taking the entity as a node, taking the relation as an edge, and connecting the triples to construct a domain name knowledge graph; acquiring query information of a user; and generating a domain name recommendation result according to the query information and the domain name knowledge map.
In yet another aspect, the present invention also provides a non-transitory computer-readable storage medium having stored thereon a computer program, which when executed by a processor is implemented to perform the domain name recommendation methods provided above, the method comprising: acquiring a domain name and related information thereof; extracting the relation between the entities and each entity in the domain name and the related information thereof to obtain a triple; taking the entity as a node, taking the relation as an edge, and connecting the triples to construct a domain name knowledge graph; acquiring query information of a user; and generating a domain name recommendation result according to the query information and the domain name knowledge map.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (9)
1. A domain name recommendation method is characterized by comprising the following steps:
acquiring query information of a user;
determining a corresponding entity of the query information in the domain name knowledge graph, and generating a domain name recommendation result according to the entity and the domain name knowledge graph; the domain name knowledge map is constructed based on domain names and related information thereof.
2. The domain name recommendation method according to claim 1, wherein the obtaining query information of the user comprises: and acquiring historical query information of the user and/or current query information of the user.
3. The domain name recommendation method according to claim 1, wherein the domain name and its related information comprise:
the domain name and registration information of the domain name;
and/or the domain name and content information in a website corresponding to the domain name.
4. The domain name recommendation method according to any one of claims 1 to 3, further comprising:
acquiring the domain name and related information thereof;
extracting the relation between the entities and each entity in the domain name and the related information thereof to obtain a triple;
and taking the entities in the triples as nodes and taking the relation in the triples as edges to construct the domain name knowledge graph.
5. The domain name recommendation method according to claim 4, wherein obtaining the domain name and its related information comprises:
acquiring registration information of a domain name by querying a database containing detailed information of the registered domain name;
and/or obtaining a website corresponding to the domain name by analyzing the domain name, and acquiring content information from the website.
6. The domain name recommendation method according to claim 5, wherein extracting the domain name and the relationship between the entity in the related information thereof and each entity to obtain a triple comprises:
taking the domain name and the registration information as entities to obtain a triplet of the domain name and the registration information;
and/or, taking the domain name and the website as entities to obtain a triple of the website and the domain name;
and/or, taking the content information as an entity to obtain the triple of the website and the content information.
7. A domain name recommendation system, comprising:
the query information acquisition module is used for acquiring query information of a user;
the recommendation result generation module is used for determining a corresponding entity of the query information in the domain name knowledge map and generating a domain name recommendation result according to the entity and the domain name knowledge map; the domain name knowledge map is constructed based on domain names and related information thereof.
8. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program performs the steps of the domain name recommendation method according to any one of claims 1 to 6.
9. A non-transitory computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the steps of the domain name recommendation method according to any one of claims 1 to 6.
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| US10467536B1 (en) * | 2014-12-12 | 2019-11-05 | Go Daddy Operating Company, LLC | Domain name generation and ranking |
| CN109241292A (en) * | 2018-08-13 | 2019-01-18 | 恒安嘉新（北京）科技股份公司 | A method of name server architectural knowledge map is established based on the passive data of master |
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Application publication date: 20210430 |